You are here

Feature Based Machine Leaning

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-14-C-7049
Agency Tracking Number: B2-2005
Amount: $974,314.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: MDA12-028
Solicitation Number: 2012.3
Timeline
Solicitation Year: 2012
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-07-31
Award End Date (Contract End Date): 2016-07-30
Small Business Information
601 Hutton St STE 109
Raleigh, NC 27606-6322
United States
DUNS: 148551653
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Eric Fails
 Principal Investigator
 (919) 341-8241
 eric.fails@vaduminc.com
Business Contact
 Gary Edge
Title: Chief Executive Officer
Phone: (919) 341-8241
Email: gary.edge@vaduminc.com
Research Institution
 Stub
Abstract

The bulk filtering algorithm is designed to suppress or eliminate uninteresting objects from a sensor data stream allowing sensor management systems to focus finite resources more effectively on objects of interest. During Phase II Vadum will carry out a series of demonstrations showing the incremental integration of their bulk filter approach within a high fidelity lab environment. Vadum will assess the performance of the machine learning approach at multiple locations within the signal processing logic of the targeted system to identify the configuration of greatest benefit. The bulk filtering solution is implemented as a non-invasive software enhancement to the radar, supplementing rather than replacing existing components. Approved for Public Release 14-MDA-7903 (2 July 14)

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government